The disclosure provides a system and method for collection of water point data from a distribution of water points to generate a digital aquifer. The disclosure includes a system to generate and collect water point data through devices supported by frugal innovations that address resource constraints. Use of the systems and methods as described enable water point users to better plan and manage limited water resources.
Legal claims defining the scope of protection, as filed with the USPTO.
1. A computer system, comprising: a processor; and a memory coupled to the processor, the memory configured to store program instructions executable by the processor to cause the computer system to: receive water point data from a water point sensor about a water point remotely located with respect to the computer system; receive secondary data from a plurality of secondary data sources, including context monitoring data of consumer activities; generate a water risk score vector from the received water point data and the received secondary data; and initiate a water risk mitigation by controlling a cyber-physical system in an Internet of Things (IoT) setting of the computer system when the water risk score vector exceeds a predetermined threshold score.
2. The computer system of claim 1 , wherein the computer system is further configured to generate a water point forecast for the water point from stored values in water point data hub.
3. The computer system of claim 2 , wherein the computer system is further configured to store the received water point data and the received secondary data in the water point data hub.
4. The computer system of claim 1 , wherein the computer system is further configured to receive water point data from a plurality of distributed water point sensors about a plurality of distributed water points each remotely located with respect to the computer system.
5. The computer system of claim 1 , wherein the computer system is further configured to generate a notification based on the water risk score vector.
6. The computer system of claim 5 , wherein the notification is selected from prioritized alert pools and is communicated via a plurality of channels to initiate online and offline services.
7. The computer system of claim 1 , wherein the secondary data source is a sensor, a social media network, a website, a manual input device, or a secondary database, and the secondary data is selected from a weather report, a receipt, a social media interaction, a mobile app, a water logbook entry, a website usage report, a health report, and a news feed.
8. The computer system of claim 1 , wherein the secondary data is aggregated, interlinked with metadata, and correlated with the water point data based on a correlation factor selected from a time factor and a location factor.
9. The computer system of claim 1 , wherein the water point sensor is a device, camera, water meter, or motion sensor.
10. The computer system of claim 1 , wherein the water point data is selected from a water level, a water usage rate, and a water quality.
11. The computer system of claim 1 , wherein the water point sensor is coupled to an embedded unit configured to dynamically annotate and link the water point data with metadata values.
12. The computer system of claim 11 , wherein the metadata values are predefined or computed, and are optionally captured via sensors, mobile devices, or implicit or explicit user input.
13. A method comprising: receiving, by a computer system via a network, water point data from a water point sensor about a water point remotely located with respect to the computer system; receiving, by the computer system, secondary data which includes past and future consumer activities from a secondary data source; storing, by the computer system, the received water point data and the received secondary data in a water point data hub; generating, by the computer system, a water risk score vector from the water point data hub; generating, by the computer system, a notification based on the water risk score vector; and generating, by the computer system, a water risk mitigation step to mitigate a water risk by controlling a cyber-physical system in an Internet of Things (IoT) setting of the computer system.
14. The method of claim 13 , further comprising generating, by the computer system, a water point forecast from the received water point data and the received secondary data.
15. The method of claim 13 , wherein the water point data is dynamically annotated with predefined or computed metadata values by an embedded unit.
16. The method of claim 13 , wherein the water point sensor is coupled to an embedded unit configured to dynamically annotate and link the water point data with metadata values.
17. A method comprising: receiving, by a computer system via a network, water point data from a water point sensor about a water point remotely located with respect to the computer system; receiving, by the computer system, secondary data from a secondary data source, the secondary data including past and future specific consumer activities, water usages and needs; identifying a water risk from the received water point data and the received secondary data; generating a customized water risk signal configured to initiate a water risk mitigation step in response to the water risk exceeding a threshold risk; and controlling a cyber-physical system in an Internet of Things (IoT) setting of the computer system as the water risk mitigation step.
Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.
April 30, 2019
September 1, 2020
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